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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    TypeError
Message:      int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1520, in _prepare_split_single
                  for key, record in generator:
                                     ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 130, in _generate_examples
                  for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
                                              ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 34, in _get_pipeline_from_tar
                  for filename, f in tar_iterator:
                                     ^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
                  for x in self.generator(*self.args):
                           ~~~~~~~~~~~~~~^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1405, in _iter_from_urlpath
                  with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
                       ~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 982, in xopen
                  file_obj = fs.open(paths[0], mode)
                File "<string>", line 3, in open
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
                  return self._mock_call(*args, **kwargs)
                         ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
                  return self._execute_mock_call(*args, **kwargs)
                         ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
                  result = effect(*args, **kwargs)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
                  tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
                                                               ~~~^^^^^^^^
              TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1382, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1560, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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mp4
video
__key__
string
__url__
string
clips/000000
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clips/000001
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hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
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clips/000048
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clips/000063
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000064
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clips/000065
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000066
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000067
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000068
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clips/000069
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000070
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clips/000071
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clips/000072
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000073
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clips/000074
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clips/000075
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000076
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000077
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clips/000078
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000079
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000080
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000081
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000082
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clips/000083
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000084
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000085
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000086
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000087
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000088
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000089
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000090
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000091
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000092
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000093
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000094
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000095
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000096
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000097
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000098
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
clips/000099
hf://datasets/wangbei1/123125343@958eeda7569cea4ebb91b5a73b6a920093064ec8/clips_shard_00.tar
End of preview.

Wan2.2-S2V ODE clips (10k, processed)

10,000 talking-head clips processed for Wan2.2-S2V ODE-pair sampling.

Each clip is 81 frames @ 16 fps, centre-cropped to 832×480, with 16 kHz mono audio (= 21 latent frames / 5.0625 s, the native S2V window). Derived from huangmq_5s_30k (clips longer than 5 s).

Files

  • clips_shard_00.tarclips_shard_04.tar — 2,000 clips each (clips/NNNNNN.mp4).
  • clips_manifest.jsonl — one record per clip ({clip, frames, fps, width, height, dur}).

Use

See the one-click sampler at https://github.com/showmeon/s2v (oneclick_ode_sample_native.sh): it downloads these clips + the native Wan-AI/Wan2.2-S2V-14B, captions each clip with a VLM, builds the S2V manifest, and samples ODE pairs with VAE-decoded previews.

Unpack: for t in clips_shard_*.tar; do tar -xf "$t"; done

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